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Data Analytics Engineer

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Onsite

Data Analytics Engineer

Kripson Staffing

Data Analytics Engineer

Skills

SQL QueriesData EngineeringData ScienceDatabricksData AnalysisdbtPower BIAzure

2 months ago

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Important information


Contract type:

Freelance / Contract

Location:

Utrecht, Netherlands

Work mode:

Onsite

Published on:

20 August 2026

What they need


Data Analytics Engineer

Location: Brussels, Belgium

Duration: 4 months

Role Overview

We are looking for an experienced Data Analytics Engineer to join its data team. The ideal candidate has strong hands-on experience in data engineering, analytics, data modeling, and business intelligence.

You will work across the complete data lifecycle — from understanding and analyzing data to building data pipelines, ensuring data quality, and improving performance.

Key Responsibilities

  • Design, build, and maintain reliable data pipelines .
  • Analyze and model data to support business and reporting needs.
  • Work on data ingestion from different source systems into a hybrid data platform .
  • Work with both:
  • On-premises Enterprise Data Warehouse (EDW) using Data Vault methodology.
  • Cloud-based Modern Data Platform (MDP) using Medallion Architecture .
  • Develop and maintain data transformations using SQL and dbt .
  • Apply Kimball dimensional modeling techniques.
  • Work with Data Vault 2.0 concepts.
  • Perform data quality checks and help ensure data accuracy and consistency.
  • Optimize data workflows and query performance.
  • Work with Databricks for data processing and analytics.
  • Work with Power BI to support reporting and business analytics.
  • Collaborate with business stakeholders, data teams, and other technical teams.
  • Work in an Agile environment and contribute proactively to team activities.

Required Skills & Experience

  • Master's degree in Computer Science, Data Science, Engineering, Business Analytics, or a related field.
  • Recent and proven experience as an Analytics Engineer .
  • Recent and proven experience as a Power BI Business Analyst .
  • Strong hands-on experience with SQL .
  • Good experience with dbt .
  • Strong understanding of Kimball dimensional modeling .
  • Good knowledge of Data Vault 2.0 .
  • Experience with Databricks .
  • Good knowledge of Power BI .
  • Experience working with data pipelines, data ingestion, and data quality.
  • Understanding of modern data architectures, including Medallion Architecture .
  • Experience working in Agile/Scrum environments.
  • Pragmatic, analytical, and solution-oriented mindset.
  • Strong communication and stakeholder-management skills.

Preferred Certifications

  • Microsoft Fabric Analytics Engineer Associate
  • Microsoft Power BI Data Analyst
  • Azure Fundamentals
  • Collibra Data Steward Learning Path
  • dbt Fundamentals
  • Scrum Product Owner (PO)

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